Technology & AI Transformation
Turning complex technology, data and AI opportunities into scalable systems — from strategy and architecture through deployment and operation.
From disconnected requests to one connected business system.
- Your ideaWhat you arrive with, in your own words. A website, a CTO, an app, better email.
- Our systemEvery request is captured, sorted and turned into a plan rather than a task list.
- ExecutionWho it is for, why, how, growth, revenue, resources, cost and partners. Named, not assumed.
- Go liveA business that runs as one system.
What I work on.
Six areas, one discipline: turning a complex technology, data or AI problem into something that runs, and keeps running.
AI Transformation
Practical AI strategy, use cases and production architectures that move past experimentation into something a business can depend on.
Data & Intelligence
Data platforms, ingestion pipelines and knowledge graphs that turn fragmented information into something you can actually decide from.
Technology Strategy
Business objectives translated into roadmaps, architecture decisions, operating models and investment priorities — with the trade-offs named.
Systems Architecture
Scalable design across data, AI, applications, integrations and infrastructure, under real latency budgets, quotas and cost ceilings.
Product & Platform Engineering
Products taken from concept and architecture through implementation, deployment and the continuous improvement that follows.
Technology Leadership
Owning the technical direction, the delivery and the production incidents — as a CTO does, whether or not the title comes with it.
- Understand
- Strategise
- Architect
- Build
- Deploy
- Operate
Strategy with the depth to reach production.
I do not separate strategy from implementation — the architecture has to survive contact with the system, the users, the data and the economics. Everything here is something I designed, shipped, and still maintain, under real latency budgets, provider quotas and cost ceilings. Not demos.
Financial intelligence over a continuously updated knowledge graph of companies, people and market events.
A behavioural operating system where programme rules, progression and support are enforced in code.
The ingestion, normalisation and vision-extraction layer feeding the graph.
Multi-tenant automation with deterministic filtering before any model spend.
Products shipped end to end and maintained in production.
Turns any device into a full point of sale terminal.
Study materials become notes, flashcards and timed practice exams.
A template and a recipient list become hundreds of certificates, delivered.
Reclaims disk space by removing space hogs, duplicates and empty folders.
Projects lyrics, scripture and media from a phone.
Shared event galleries with guest capture and slideshow playback.
Written from the work itself.
Technical briefs and field notes from systems in production, written for the people who have to act on them.